{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload//Experiment2Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}12 Jan 2025, 09:32:13
{txt}
{com}. 
. ********************************************************************************
. * Importing Data for Experiment
. ********************************************************************************
. 
. use "${c -(}MyProject{c )-}CCES2022processedUPLOAD.dta", clear
{txt}
{com}. 
. recode hispanic (2 = 0)
{txt}(870 changes made to {bf:hispanic})

{com}. 
. lab def HISPANIC 0 "Not Hispanic" 1 "Hispanic", modify
{txt}
{com}. 
. ********************************************************************************
. * Summary Tables
. ********************************************************************************
. 
. 
. lab var hegemony_contribute "Contribute"
{txt}
{com}. lab var hegemony_assist "Experts"
{txt}
{com}. lab var hegemony_fabricate "Fabricate"
{txt}
{com}. lab var hegemony_promise "Promise"
{txt}
{com}.                 
. ********************
. * Appendix Table A1
. 
. lab def collegelab 0 "No degree" 1 "Degree"
{txt}
{com}. 
. lab val college collegelab
{txt}
{com}. 
. lab def whitelab 0 "Not White-only" 1 "White-only"
{txt}
{com}. 
. lab val white whitelab
{txt}
{com}. 
. dtable age i.white i.gender4 i.college i.pid3 i.hispanic ///
>                 , by(tookpost)                                                                                                                  ///
>         nformat(%6.0f   )                                                                                                               ///
>                 title("CES Population Summary" "\label{c -(}tab:cessummary{c )-}")                                        ///
>                 export("${c -(}MyProject{c )-}AppendixTableA1.tex", replace  tableonly  )
{res}
{smcl}
{reset}{...}
{p}CES Population Summary \label{tab:cessummary}{p_end}
{hline 18}{c -}{hline 9}{c -}{hline 9}{c -}{hline 11}
{space 18} {space 3}Took post-election survey{space 3}
{space 18} {space 4}No{space 3} {space 3}Yes{space 3} {space 3}Total{space 3}
{hline 18}{c -}{hline 9}{c -}{hline 9}{c -}{hline 11}
N{space 17} {result:179 (18%)} {result:821 (82%)} {result:1000 (100%)}
Age (in years){space 4} {space 2}{result:48 (18)} {space 2}{result:53 (16)} {space 4}{result:53 (16)}
White Non-Hispanic {space 9} {space 9} {space 11}
  Not White-only{space 2} {space 1}{result:92 (51%)} {result:206 (25%)} {space 2}{result:298 (30%)}
  White-only{space 6} {space 1}{result:87 (49%)} {result:615 (75%)} {space 2}{result:702 (70%)}
Gender{space 12} {space 9} {space 9} {space 11}
  Man{space 13} {result:106 (59%)} {result:352 (43%)} {space 2}{result:458 (46%)}
  Woman{space 11} {space 1}{result:73 (41%)} {result:461 (56%)} {space 2}{result:534 (53%)}
  Non-binary{space 6} {space 3}{result:0 (0%)} {space 3}{result:5 (1%)} {space 5}{result:5 (0%)}
  Other{space 11} {space 3}{result:0 (0%)} {space 3}{result:3 (0%)} {space 5}{result:3 (0%)}
College Degree{space 4} {space 9} {space 9} {space 11}
  No degree{space 7} {result:153 (85%)} {result:497 (61%)} {space 2}{result:650 (65%)}
  Degree{space 10} {space 1}{result:26 (15%)} {result:324 (39%)} {space 2}{result:350 (35%)}
3 point party ID{space 2} {space 9} {space 9} {space 11}
  Democrat{space 8} {space 1}{result:67 (37%)} {result:309 (38%)} {space 2}{result:376 (38%)}
  Republican{space 6} {space 1}{result:39 (22%)} {result:228 (28%)} {space 2}{result:267 (27%)}
  Independent{space 5} {space 1}{result:49 (27%)} {result:217 (26%)} {space 2}{result:266 (27%)}
  Other{space 11} {space 3}{result:8 (4%)} {space 2}{result:36 (4%)} {space 4}{result:44 (4%)}
  Not sure{space 8} {space 2}{result:16 (9%)} {space 2}{result:31 (4%)} {space 4}{result:47 (5%)}
Hispanic{space 10} {space 9} {space 9} {space 11}
  Not Hispanic{space 4} {result:138 (87%)} {result:732 (92%)} {space 2}{result:870 (91%)}
  Hispanic{space 8} {space 1}{result:21 (13%)} {space 2}{result:66 (8%)} {space 4}{result:87 (9%)}
{hline 18}{c -}{hline 9}{c -}{hline 9}{c -}{hline 11}
{res}{txt}{p 0 1 2}
(collection {res:DTable} exported to file {browse "/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA1.tex":~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA1.tex})
{p_end}

{com}. 
.                 
. ********************
. * Appendix Table A6
. 
. dtable age female pid3 college white hispanic                                                                   ///
>         ,by(hegemony_high_chance) nformat(%8.2g)                                                                        ///
>         export("${c -(}MyProject{c )-}AppendixTableA6.tex", replace tableonly) ///
>         title("Hegemony Experiment (Chance) \label{c -(}tab:hegemonyBalanceChance{c )-}")
{res}
{smcl}
{reset}{...}
{p}Hegemony Experiment (Chance) \label{tab:hegemonyBalanceChance}{p_end}
{hline 18}{c -}{hline 10}{c -}{hline 11}{c -}{hline 11}
{space 18} {space 14}Chance{space 14}
{space 18} Low Chance High Chance {space 3}Total{space 3}
{hline 18}{c -}{hline 10}{c -}{hline 11}{c -}{hline 11}
N{space 17} {space 1}{result:495 (50%)} {space 2}{result:505 (51%)} {result:1000 (100%)}
Age (in years){space 4} {space 3}{result:54 (17)} {space 4}{result:52 (16)} {space 4}{result:53 (16)}
Female ID{space 9} {space 2}{result:.54 (.5)} {space 3}{result:.52 (.5)} {space 3}{result:.53 (.5)}
3 point party ID{space 2} {space 1}{result:2.1 (1.1)} {space 2}{result:2.1 (1.1)} {space 2}{result:2.1 (1.1)}
College Degree{space 4} {space 1}{result:.33 (.47)} {space 2}{result:.37 (.48)} {space 2}{result:.35 (.48)}
White Non-Hispanic {space 1}{result:.72 (.45)} {space 2}{result:.69 (.46)} {space 3}{result:.7 (.46)}
Hispanic{space 10} {result:.086 (.28)} {space 1}{result:.095 (.29)} {space 1}{result:.091 (.29)}
{hline 18}{c -}{hline 10}{c -}{hline 11}{c -}{hline 11}
{res}{txt}{p 0 1 2}
(collection {res:DTable} exported to file {browse "/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA6.tex":~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA6.tex})
{p_end}

{com}.         
. 
. ********************
. * Appendix Table A7
. 
. dtable age female pid3 college white hispanic                                                                   ///
>         , by(hegemony_region) nformat(%8.2g)                                                                            ///
>         export("${c -(}MyProject{c )-}AppendixTableA7.tex", replace tableonly)            ///
>         title("Hegemony Experiment (Region)  \label{c -(}tab:hegemonyBalanceRegion{c )-}")
{res}
{smcl}
{reset}{...}
{p}Hegemony Experiment (Region)  \label{tab:hegemonyBalanceRegion}{p_end}
{hline 18}{c -}{hline 9}{c -}{hline 10}{c -}{hline 10}{c -}{hline 9}{c -}{hline 11}
{space 18} {space 24}Region{space 23}
{space 18} {space 2}Africa{space 1} {space 3}Asia{space 3} {space 1}E Europe{space 1} {space 2}Lat Am{space 1} {space 3}Total{space 3}
{hline 18}{c -}{hline 9}{c -}{hline 10}{c -}{hline 10}{c -}{hline 9}{c -}{hline 11}
N{space 17} {result:246 (25%)} {space 1}{result:241 (24%)} {space 1}{result:255 (26%)} {result:258 (26%)} {result:1000 (100%)}
Age (in years){space 4} {space 2}{result:55 (16)} {space 3}{result:53 (16)} {space 3}{result:52 (16)} {space 2}{result:53 (17)} {space 4}{result:53 (16)}
Female ID{space 9} {space 1}{result:.54 (.5)} {space 2}{result:.54 (.5)} {space 1}{result:.58 (.49)} {space 1}{result:.48 (.5)} {space 3}{result:.53 (.5)}
3 point party ID{space 2} {result:2.1 (1.1)} {space 1}{result:2.2 (1.1)} {space 1}{result:2.1 (1.1)} {result:2.1 (1.1)} {space 2}{result:2.1 (1.1)}
College Degree{space 4} {result:.37 (.48)} {space 1}{result:.36 (.48)} {space 1}{result:.33 (.47)} {result:.34 (.48)} {space 2}{result:.35 (.48)}
White Non-Hispanic {space 1}{result:.7 (.46)} {space 2}{result:.7 (.46)} {space 2}{result:.7 (.46)} {result:.71 (.45)} {space 3}{result:.7 (.46)}
Hispanic{space 10} {result:.09 (.29)} {result:.074 (.26)} {result:.085 (.28)} {result:.11 (.32)} {space 1}{result:.091 (.29)}
{hline 18}{c -}{hline 9}{c -}{hline 10}{c -}{hline 10}{c -}{hline 9}{c -}{hline 11}
{res}{txt}{p 0 1 2}
(collection {res:DTable} exported to file {browse "/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA7.tex":~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA7.tex})
{p_end}

{com}.         
. 
. ********************************************************************************
. * Additional Data Cleaning
. ********************************************************************************
.         
. * H2.1 treatment
. clonevar hegemony_region_alt = hegemony_region
{txt}
{com}. lab def hegreglabalt 0 "Africa" 1 "Control" 2 "Asia"
{txt}
{com}. recode hegemony_region_alt (1=0) (3=1) (4=1)
{txt}(759 changes made to {bf:hegemony_region_alt})

{com}. lab val hegemony_region_alt hegreglabalt
{txt}
{com}. 
. * Hegemony
. 
. clonevar hegemony_concern = UMA315
{txt}
{com}. lab var hegemony_concern "US Strengthening or Weakening"
{txt}
{com}. 
. * News interest
. 
. clonevar newsint_num = newsint
{txt}
{com}. recode newsint_num (4 = 3) (7 = .)
{txt}(116 changes made to {bf:newsint_num})

{com}. lab def NEWSINT 3 "Now and then / hardly at all", modify
{txt}
{com}. 
. 
. lab var hegemony_contribute "Contribute funds"
{txt}
{com}. lab var hegemony_assist "Send experts in political campaigning"
{txt}
{com}. lab var hegemony_fabricate "Fabricate and release damaging information"
{txt}
{com}. lab var hegemony_promise "Promise to increase foreign aid"
{txt}
{com}. 
.         
. gen hegemony_DV_3way = .
{txt}(1,000 missing values generated)

{com}. replace hegemony_DV_3way = 0 if hegemony_DV == 1 | hegemony_DV == 2
{txt}(373 real changes made)

{com}. replace hegemony_DV_3way = 1 if hegemony_DV == 3
{txt}(405 real changes made)

{com}. replace hegemony_DV_3way = 2 if hegemony_DV == 4 | hegemony_DV == 5
{txt}(220 real changes made)

{com}. lab def hegemony_DV_3waylab 0 "Disapprove" 1 "Neither" 2 "Approve"
{txt}
{com}. lab val hegemony_DV_3way hegemony_DV_3waylab
{txt}
{com}. 
. 
. ********************************************************************************
. * Figure 4
. ********************************************************************************
. 
. /// Figure 4 a)
> 
. catplot                                                                                                                                                 ///
>         , over(hegemony_DV_3way, label(labsize(*.65)) )                                                         ///
>         over(hegemony_region, label(labsize(2)))                                                                        ///
>         asyvars stack over(hegemony_high_chance)                                                                        ///
>         bar(1, bcolor(ebg)) bar(2, bcolor(dimgray))                                                             ///
>         horizontal percent(hegemony_region hegemony_high_chance)                                        ///
>         ytitle("Percent")                                                                                                                       ///
>         blabel(bar,format(%4.1f) size(2) position(center))                                                      ///
>         legend(position(12) rows(1)) name(grhegemony_3way,replace)                                      ///
>         title("{c -(}bf:A) Support for Intervention by Region{c )-}", span)               
{res}{txt}
{com}.         
. 
.         
. /// Figure 4 b)
> 
. * Treatment only
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1469.1349}  
Iteration 1:{space 2}Log likelihood = {res:-1461.7288}  
Iteration 2:{space 2}Log likelihood = {res:-1461.7199}  
Iteration 3:{space 2}Log likelihood = {res:-1461.7199}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:998}
{txt}{col 57}{lalign 13:LR chi2({res:4})}{col 70} = {res}{ralign 6:14.83}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0051}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1461.7199}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0050}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .1817945{col 29}{space 2}  .164695{col 40}{space 1}    1.10{col 49}{space 3}0.270{col 57}{space 4}-.1410018{col 70}{space 3} .5045908
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.0978606{col 29}{space 2} .1616497{col 40}{space 1}   -0.61{col 49}{space 3}0.545{col 57}{space 4}-.4146882{col 70}{space 3} .2189671
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.0877431{col 29}{space 2} .1631258{col 40}{space 1}   -0.54{col 49}{space 3}0.591{col 57}{space 4}-.4074638{col 70}{space 3} .2319776
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .3694725{col 29}{space 2} .1153661{col 40}{space 1}    3.20{col 49}{space 3}0.001{col 57}{space 4}  .143359{col 70}{space 3} .5955859
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.346935{col 29}{space 2} .1413345{col 57}{space 4}-1.623946{col 70}{space 3}-1.069925
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.3395542{col 29}{space 2} .1333238{col 57}{space 4}-.6008639{col 70}{space 3}-.0782444
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.459914{col 29}{space 2} .1416147{col 57}{space 4} 1.182354{col 70}{space 3} 1.737473
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2}  2.60266{col 29}{space 2} .1658983{col 57}{space 4} 2.277505{col 70}{space 3} 2.927815
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto hegemony_base_olog, title("Base, Ologit")
{txt}
{com}. local hegemony_base_ologN = e(N)
{txt}
{com}. 
. * With demographics 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-1219.0073}  
Iteration 1:{space 2}Log likelihood = {res:-1192.9954}  
Iteration 2:{space 2}Log likelihood = {res:-1192.8593}  
Iteration 3:{space 2}Log likelihood = {res:-1192.8592}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:829}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:52.30}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-1192.8592}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0215}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .1732534{col 29}{space 2} .1843341{col 40}{space 1}    0.94{col 49}{space 3}0.347{col 57}{space 4}-.1880348{col 70}{space 3} .5345416
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.1445986{col 29}{space 2} .1781035{col 40}{space 1}   -0.81{col 49}{space 3}0.417{col 57}{space 4}-.4936751{col 70}{space 3} .2044779
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.0952304{col 29}{space 2} .1789869{col 40}{space 1}   -0.53{col 49}{space 3}0.595{col 57}{space 4}-.4460382{col 70}{space 3} .2555775
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .4506095{col 29}{space 2} .1280397{col 40}{space 1}    3.52{col 49}{space 3}0.000{col 57}{space 4} .1996562{col 70}{space 3} .7015627
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0036395{col 29}{space 2} .0040084{col 40}{space 1}   -0.91{col 49}{space 3}0.364{col 57}{space 4}-.0114957{col 70}{space 3} .0042168
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0198297{col 29}{space 2} .1523248{col 40}{space 1}   -0.13{col 49}{space 3}0.896{col 57}{space 4}-.3183809{col 70}{space 3} .2787214
{txt}{space 9}female {c |}{col 17}{res}{space 2}  .133903{col 29}{space 2} .1321766{col 40}{space 1}    1.01{col 49}{space 3}0.311{col 57}{space 4}-.1251583{col 70}{space 3} .3929643
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.5206363{col 29}{space 2} .1350862{col 40}{space 1}   -3.85{col 49}{space 3}0.000{col 57}{space 4}-.7854004{col 70}{space 3}-.2558722
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .1673667{col 29}{space 2} .2280358{col 40}{space 1}    0.73{col 49}{space 3}0.463{col 57}{space 4}-.2795753{col 70}{space 3} .6143087
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.4165283{col 29}{space 2} .2414398{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.8897416{col 70}{space 3}  .056685
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.4573367{col 29}{space 2} .2094775{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4} -.867905{col 70}{space 3}-.0467683
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.4788867{col 29}{space 2} .2560329{col 40}{space 1}   -1.87{col 49}{space 3}0.061{col 57}{space 4} -.980702{col 70}{space 3} .0229287
{txt}Not very str..  {c |}{col 17}{res}{space 2}  .382973{col 29}{space 2}  .240688{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4}-.0887667{col 70}{space 3} .8547127
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .1373402{col 29}{space 2} .1989113{col 40}{space 1}    0.69{col 49}{space 3}0.490{col 57}{space 4}-.2525188{col 70}{space 3} .5271991
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .3575962{col 29}{space 2}  .459637{col 40}{space 1}    0.78{col 49}{space 3}0.437{col 57}{space 4}-.5432758{col 70}{space 3} 1.258468
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.694345{col 29}{space 2} .3173937{col 57}{space 4}-2.316425{col 70}{space 3}-1.072265
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.6036692{col 29}{space 2} .3121138{col 57}{space 4}-1.215401{col 70}{space 3} .0080626
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}   1.2338{col 29}{space 2} .3147056{col 57}{space 4} .6169879{col 70}{space 3} 1.850611
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.396683{col 29}{space 2} .3290647{col 57}{space 4} 1.751728{col 70}{space 3} 3.041638
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto hegemony_adj_olog, title("Adj, Ologit")
{txt}
{com}. local   hegemony_adj_ologN = e(N)
{txt}
{com}.                                         
. * Coefplot
. 
. local gtitle gph_overall
{txt}
{com}. 
. coefplot        (hegemony_base_olog,label(Base))                                                                        ///
>                         (hegemony_adj_olog, label(Covariates))                                                          ///
>                         , title("{c -(}bf: B) Effects of Treatment on Intervention Support{c )-}", span)  ///
>                         xtitle("{c -(}it: Ordinal Logistic Coefficients{c )-}", size(small) )                     ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         name(`gtitle',replace)  xline(0)                                                                        ///
>                         legend(ring(0) pos(1) rows(4) size(small))                                                      ///
>                         ylab(,labsize(vsmall))                                                                                          ///
>                         note("2022 CES Hegemony experiment. Base N = `hegemony_base_ologN'; Adj N = `hegemony_adj_ologN'." "Full specification for Adjusted includes party ID, gender, age, racial ID, college degree, and party ID.", size(vsmall) span)
{res}{txt}
{com}. 
. ********************
. * Appendix Table A8
. 
. esttab hegemony_base_olog hegemony_adj_olog                                                                             ///
>                 using "${c -(}MyProject{c )-}AppendixTableA8.tex"                                 ///
>                 , replace nobase label  longtable eqlabels(none) drop(cut*)                             ///
>                 mtitles("Base" "With Covariates")                                                                               ///
>                 title("Hegemony Experiment Results" "\label{c -(}tab:hegemonyresults{c )-}")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA8.tex{rm}
not found)
{p_end}
(output written to {browse  `"~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA8.tex"'})

{com}. 
.                 
.         
. /// Figure 4 c)
> 
.                 
. est restore hegemony_base_olog
{txt}(results {stata estimates replay hegemony_base_olog:hegemony_base_olog} are active now)

{com}. margins, atmeans dydx(hegemony_high_chance) post
{res}
{txt}{col 1}Conditional marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:998}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 12 12 2}{...}
{p2col:dy/dx wrt:}{res:1.hegemony_high_chance}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 13 13 2}{...}
{p2col:{txt:1._predict:}}{res:Pr(hegemony_DV==1), predict(pr outcome(1))}{p_end}
{p2col:{txt:2._predict:}}{res:Pr(hegemony_DV==2), predict(pr outcome(2))}{p_end}
{p2col:{txt:3._predict:}}{res:Pr(hegemony_DV==3), predict(pr outcome(3))}{p_end}
{p2col:{txt:4._predict:}}{res:Pr(hegemony_DV==4), predict(pr outcome(4))}{p_end}
{p2col:{txt:5._predict:}}{res:Pr(hegemony_DV==5), predict(pr outcome(5))}{p_end}
{p2colreset}{...}

{lalign 4:At: }{space 0}{lalign 22:1.hegemony_region} = {res:{ralign 7:.246493}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 22:2.hegemony_region} = {res:{ralign 7:.240481}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 22:3.hegemony_region} = {res:{ralign 7:.254509}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 22:4.hegemony_region} = {res:{ralign 7:.258517}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 22:0.hegemony_high_chance} = {res:{ralign 7:.495992}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 22:1.hegemony_high_chance} = {res:{ralign 7:.504008}} {txt:(mean)}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.hegemony_hi~e{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.hegemony_hi~e {txt}{c |}
{space 7}_predict {c |}
{space 13}1  {c |}{col 17}{res}{space 2}-.0541716{col 29}{space 2} .0170327{col 40}{space 1}   -3.18{col 49}{space 3}0.001{col 57}{space 4}-.0875551{col 70}{space 3}-.0207882
{txt}{space 13}2  {c |}{col 17}{res}{space 2}-.0320167{col 29}{space 2}  .010225{col 40}{space 1}   -3.13{col 49}{space 3}0.002{col 57}{space 4}-.0520574{col 70}{space 3} -.011976
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .0232704{col 29}{space 2} .0080949{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} .0074047{col 70}{space 3}  .039136
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .0351656{col 29}{space 2} .0111895{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .0132346{col 70}{space 3} .0570967
{txt}{space 13}5  {c |}{col 17}{res}{space 2} .0277523{col 29}{space 2} .0089688{col 40}{space 1}    3.09{col 49}{space 3}0.002{col 57}{space 4} .0101737{col 70}{space 3} .0453309
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est sto hegemony_base_olog_dydx,title("Base")
{txt}
{com}. 
. mylabels -10(5)10, myscale(@/100) local(myla)
{res}{p}                -.1 "-10"                -.05 "-5"                   0 "0"                 .05 "5"                  .1 "10" 
{txt}
{smcl}
{com}. 
. coefplot (hegemony_base_olog_dydx, label(Base))                                                                 ///
>                 , recast(bar) vertical barw(0.25)                                                                               ///
>                 ciopts(recast(rcap) color(gs8)) citop                                                                   ///
>                 xlab(1 `""Strongly" "disapprove""' 2 "Disapprove" 3  "Neither"                  ///
>                         4 "Approve" 5 `""Strongly" "approve""',                                                         ///
>                         labsize(vsmall))                                                                                                        ///
>                 title("{c -(}bf:C) Differences in Predicted Outcomes{c )-}", size(small) span)    ///
>                 subtitle("{c -(}it: High minus Low Condition; Base Model{c )-}",  size(small) span)       ///
>                 yline(0) ylab(`myla',labsize(vsmall))                                                                   ///
>                 name(gph_dydx, replace)                                                                                                 ///
>                 ytitle("Difference between conditions", size(vsmall))                                   ///
>                 legend(off) 
{res}{txt}
{com}. 
. 
. gr combine grhegemony_3way gph_overall gph_dydx, rows(3) 
{res}{txt}
{com}. graph display, ysize(9) xsize(6)
{res}{txt}
{com}. 
. ********************
. * Main Paper Figure 4
. 
. graph export "${c -(}MyProject{c )-}00 Main Figure 4.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/00 Main Figure 4.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. ********************************************************************************
. * Appendix Extensions
. ********************************************************************************
. 
. 
. * News Interest (Media Exposure)
. 
. local addon newsint
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white college i.pid7 if newsint_num == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-661.39097}  
Iteration 1:{space 2}Log likelihood = {res:-643.33911}  
Iteration 2:{space 2}Log likelihood = {res:-643.03159}  
Iteration 3:{space 2}Log likelihood = {res:-643.02742}  
Iteration 4:{space 2}Log likelihood = {res:-643.02742}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:433}
{txt}{col 57}{lalign 13:LR chi2({res:14})}{col 70} = {res}{ralign 6:36.73}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0008}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-643.02742}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0278}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}-.1380075{col 29}{space 2} .2466091{col 40}{space 1}   -0.56{col 49}{space 3}0.576{col 57}{space 4}-.6213525{col 70}{space 3} .3453375
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} .0044963{col 29}{space 2} .2440448{col 40}{space 1}    0.02{col 49}{space 3}0.985{col 57}{space 4}-.4738227{col 70}{space 3} .4828153
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.2260783{col 29}{space 2} .2428871{col 40}{space 1}   -0.93{col 49}{space 3}0.352{col 57}{space 4}-.7021282{col 70}{space 3} .2499716
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .6073433{col 29}{space 2} .1773431{col 40}{space 1}    3.42{col 49}{space 3}0.001{col 57}{space 4} .2597572{col 70}{space 3} .9549295
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0144378{col 29}{space 2} .0060459{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .0025881{col 70}{space 3} .0262876
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0286508{col 29}{space 2}  .218722{col 40}{space 1}   -0.13{col 49}{space 3}0.896{col 57}{space 4} -.457338{col 70}{space 3} .4000364
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.3818211{col 29}{space 2} .1799769{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.7345694{col 70}{space 3}-.0290728
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .2346418{col 29}{space 2}  .391919{col 40}{space 1}    0.60{col 49}{space 3}0.549{col 57}{space 4}-.5335054{col 70}{space 3} 1.002789
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.2455567{col 29}{space 2}  .303311{col 40}{space 1}   -0.81{col 49}{space 3}0.418{col 57}{space 4}-.8400353{col 70}{space 3}  .348922
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2} -.536459{col 29}{space 2} .3222747{col 40}{space 1}   -1.66{col 49}{space 3}0.096{col 57}{space 4}-1.168106{col 70}{space 3} .0951879
{txt}Lean Republi..  {c |}{col 17}{res}{space 2} -.544008{col 29}{space 2} .3104841{col 40}{space 1}   -1.75{col 49}{space 3}0.080{col 57}{space 4}-1.152546{col 70}{space 3} .0645297
{txt}Not very str..  {c |}{col 17}{res}{space 2} .5335795{col 29}{space 2} .3634777{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4}-.1788237{col 70}{space 3} 1.245983
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .0933811{col 29}{space 2} .2462413{col 40}{space 1}    0.38{col 49}{space 3}0.705{col 57}{space 4}-.3892431{col 70}{space 3} .5760052
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}  2.39073{col 29}{space 2} 1.519143{col 40}{space 1}    1.57{col 49}{space 3}0.116{col 57}{space 4}-.5867359{col 70}{space 3} 5.368196
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-.3635129{col 29}{space 2} .4513544{col 57}{space 4}-1.248151{col 70}{space 3} .5211255
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} .8485249{col 29}{space 2} .4522732{col 57}{space 4}-.0379142{col 70}{space 3} 1.734964
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.151457{col 29}{space 2} .4638756{col 57}{space 4} 1.242278{col 70}{space 3} 3.060637
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.306884{col 29}{space 2} .4853342{col 57}{space 4} 2.355646{col 70}{space 3} 4.258121
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'1
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if newsint_num == 2

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-302.45754}  
Iteration 1:{space 2}Log likelihood = {res:-294.40135}  
Iteration 2:{space 2}Log likelihood = {res:-294.32994}  
Iteration 3:{space 2}Log likelihood = {res: -294.3299}  
Iteration 4:{space 2}Log likelihood = {res: -294.3299}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:213}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:16.26}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.3653}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-294.3299}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0269}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .2765339{col 29}{space 2} .3872806{col 40}{space 1}    0.71{col 49}{space 3}0.475{col 57}{space 4}-.4825222{col 70}{space 3}  1.03559
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.7533231{col 29}{space 2} .3842973{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.506532{col 70}{space 3}-.0001142
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.3379045{col 29}{space 2} .3751204{col 40}{space 1}   -0.90{col 49}{space 3}0.368{col 57}{space 4}-1.073127{col 70}{space 3} .3973179
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .4326926{col 29}{space 2} .2657789{col 40}{space 1}    1.63{col 49}{space 3}0.104{col 57}{space 4}-.0882244{col 70}{space 3} .9536096
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0069484{col 29}{space 2}  .008325{col 40}{space 1}   -0.83{col 49}{space 3}0.404{col 57}{space 4} -.023265{col 70}{space 3} .0093683
{txt}{space 10}white {c |}{col 17}{res}{space 2}  .026378{col 29}{space 2} .3174096{col 40}{space 1}    0.08{col 49}{space 3}0.934{col 57}{space 4}-.5957333{col 70}{space 3} .6484893
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.0924638{col 29}{space 2} .2764183{col 40}{space 1}   -0.33{col 49}{space 3}0.738{col 57}{space 4}-.6342337{col 70}{space 3}  .449306
{txt}{space 8}college {c |}{col 17}{res}{space 2} -.499565{col 29}{space 2} .2917701{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4}-1.071424{col 70}{space 3} .0722938
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .1578276{col 29}{space 2} .4010901{col 40}{space 1}    0.39{col 49}{space 3}0.694{col 57}{space 4}-.6282945{col 70}{space 3} .9439497
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.6066918{col 29}{space 2} .5054718{col 40}{space 1}   -1.20{col 49}{space 3}0.230{col 57}{space 4}-1.597398{col 70}{space 3} .3840147
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.6936865{col 29}{space 2} .4668698{col 40}{space 1}   -1.49{col 49}{space 3}0.137{col 57}{space 4}-1.608734{col 70}{space 3} .2213615
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.5809162{col 29}{space 2} .5816852{col 40}{space 1}   -1.00{col 49}{space 3}0.318{col 57}{space 4}-1.720998{col 70}{space 3} .5591658
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.0171826{col 29}{space 2} .4642437{col 40}{space 1}   -0.04{col 49}{space 3}0.970{col 57}{space 4}-.9270835{col 70}{space 3} .8927183
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.0920002{col 29}{space 2} .4027559{col 40}{space 1}   -0.23{col 49}{space 3}0.819{col 57}{space 4}-.8813873{col 70}{space 3} .6973868
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.0105121{col 29}{space 2} 1.341121{col 40}{space 1}   -0.01{col 49}{space 3}0.994{col 57}{space 4}-2.639061{col 70}{space 3} 2.618037
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.514499{col 29}{space 2}  .619209{col 57}{space 4}-3.728126{col 70}{space 3}-1.300871
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-1.467367{col 29}{space 2} .6039398{col 57}{space 4}-2.651067{col 70}{space 3}-.2836662
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  .620814{col 29}{space 2} .5955605{col 57}{space 4} -.546463{col 70}{space 3} 1.788091
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.034122{col 29}{space 2} .6276437{col 57}{space 4} .8039625{col 70}{space 3} 3.264281
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'2
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if newsint_num == 3

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-197.88926}  
Iteration 1:{space 2}Log likelihood = {res:-182.81542}  
Iteration 2:{space 2}Log likelihood = {res:-181.97097}  
Iteration 3:{space 2}Log likelihood = {res:-181.96864}  
Iteration 4:{space 2}Log likelihood = {res:-181.96864}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:168}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:31.84}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0068}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-181.96864}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0805}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} 1.418381{col 29}{space 2} .5094105{col 40}{space 1}    2.78{col 49}{space 3}0.005{col 57}{space 4} .4199547{col 70}{space 3} 2.416807
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} .6932991{col 29}{space 2} .4613466{col 40}{space 1}    1.50{col 49}{space 3}0.133{col 57}{space 4}-.2109236{col 70}{space 3} 1.597522
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .5826966{col 29}{space 2} .4825749{col 40}{space 1}    1.21{col 49}{space 3}0.227{col 57}{space 4}-.3631328{col 70}{space 3} 1.528526
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2}-.0531983{col 29}{space 2} .3321799{col 40}{space 1}   -0.16{col 49}{space 3}0.873{col 57}{space 4}-.7042588{col 70}{space 3} .5978623
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0240912{col 29}{space 2} .0104301{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4}-.0445337{col 70}{space 3}-.0036487
{txt}{space 10}white {c |}{col 17}{res}{space 2} .2960314{col 29}{space 2} .3809769{col 40}{space 1}    0.78{col 49}{space 3}0.437{col 57}{space 4}-.4506696{col 70}{space 3} 1.042732
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.2736421{col 29}{space 2} .3657389{col 40}{space 1}   -0.75{col 49}{space 3}0.454{col 57}{space 4}-.9904772{col 70}{space 3}  .443193
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.3939238{col 29}{space 2} .4014262{col 40}{space 1}   -0.98{col 49}{space 3}0.326{col 57}{space 4}-1.180705{col 70}{space 3} .3928571
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}-1.138375{col 29}{space 2} .6169842{col 40}{space 1}   -1.85{col 49}{space 3}0.065{col 57}{space 4}-2.347642{col 70}{space 3} .0708916
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-1.186392{col 29}{space 2} .7606455{col 40}{space 1}   -1.56{col 49}{space 3}0.119{col 57}{space 4} -2.67723{col 70}{space 3} .3044457
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2} -1.68465{col 29}{space 2} .5541688{col 40}{space 1}   -3.04{col 49}{space 3}0.002{col 57}{space 4}-2.770801{col 70}{space 3}-.5984993
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-1.074553{col 29}{space 2} .8399501{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4}-2.720825{col 70}{space 3}  .571719
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.7417499{col 29}{space 2}  .622019{col 40}{space 1}   -1.19{col 49}{space 3}0.233{col 57}{space 4}-1.960885{col 70}{space 3}  .477385
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .7579142{col 29}{space 2} .6867738{col 40}{space 1}    1.10{col 49}{space 3}0.270{col 57}{space 4}-.5881377{col 70}{space 3} 2.103966
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} -.547111{col 29}{space 2} .8214489{col 40}{space 1}   -0.67{col 49}{space 3}0.505{col 57}{space 4}-2.157121{col 70}{space 3} 1.062899
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-3.929104{col 29}{space 2} .8753391{col 57}{space 4}-5.644737{col 70}{space 3}-2.213471
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-2.924606{col 29}{space 2} .8468291{col 57}{space 4}-4.584361{col 70}{space 3}-1.264852
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .4892826{col 29}{space 2} .8093122{col 57}{space 4} -1.09694{col 70}{space 3} 2.075505
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.448618{col 29}{space 2}  .833601{col 57}{space 4}-.1852102{col 70}{space 3} 3.082446
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'3
{txt}
{com}. local   N3 = e(N)
{txt}
{com}. 
. 
. coefplot        (subset_olog_`addon'1, label(Most (`N1')))              ///
>                         (subset_olog_`addon'2, label(Some (`N2')))      ///
>                         (subset_olog_`addon'3, label(Rarely (`N3')))    ///
>                         , title("{c -(}it: News Interest{c )-}")                                                                                          ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(8) rows(3) size(vsmall))                                                     ///
>                         name(g_`addon', replace)  xline(0)                                                                      
{res}{txt}
{com}. 
. * Hegemony
. 
. local addon hegemony
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white college i.pid7 if hegemony_concern == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-618.77133}  
Iteration 1:{space 2}Log likelihood = {res:-603.26856}  
Iteration 2:{space 2}Log likelihood = {res:-603.18348}  
Iteration 3:{space 2}Log likelihood = {res:-603.18346}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:424}
{txt}{col 57}{lalign 13:LR chi2({res:14})}{col 70} = {res}{ralign 6:31.18}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0052}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-603.18346}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0252}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .1159144{col 29}{space 2} .2640833{col 40}{space 1}    0.44{col 49}{space 3}0.661{col 57}{space 4}-.4016793{col 70}{space 3} .6335081
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.0865834{col 29}{space 2} .2516354{col 40}{space 1}   -0.34{col 49}{space 3}0.731{col 57}{space 4}-.5797797{col 70}{space 3}  .406613
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.1618078{col 29}{space 2} .2609046{col 40}{space 1}   -0.62{col 49}{space 3}0.535{col 57}{space 4}-.6731715{col 70}{space 3} .3495559
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .5419085{col 29}{space 2} .1807432{col 40}{space 1}    3.00{col 49}{space 3}0.003{col 57}{space 4} .1876583{col 70}{space 3} .8961586
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0025034{col 29}{space 2} .0056438{col 40}{space 1}    0.44{col 49}{space 3}0.657{col 57}{space 4}-.0085583{col 70}{space 3}  .013565
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.1085441{col 29}{space 2} .2352011{col 40}{space 1}   -0.46{col 49}{space 3}0.644{col 57}{space 4}-.5695298{col 70}{space 3} .3524416
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.4967468{col 29}{space 2} .1947413{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4}-.8784327{col 70}{space 3}-.1150609
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .2804172{col 29}{space 2} .4329923{col 40}{space 1}    0.65{col 49}{space 3}0.517{col 57}{space 4}-.5682321{col 70}{space 3} 1.129067
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.5301901{col 29}{space 2} .4729454{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4}-1.457146{col 70}{space 3} .3967658
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.3220524{col 29}{space 2} .3583337{col 40}{space 1}   -0.90{col 49}{space 3}0.369{col 57}{space 4}-1.024373{col 70}{space 3} .3802687
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.3632257{col 29}{space 2} .3687314{col 40}{space 1}   -0.99{col 49}{space 3}0.325{col 57}{space 4}-1.085926{col 70}{space 3} .3594746
{txt}Not very str..  {c |}{col 17}{res}{space 2} .4917796{col 29}{space 2} .3675603{col 40}{space 1}    1.34{col 49}{space 3}0.181{col 57}{space 4}-.2286253{col 70}{space 3} 1.212184
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .0973667{col 29}{space 2} .3278687{col 40}{space 1}    0.30{col 49}{space 3}0.766{col 57}{space 4}-.5452441{col 70}{space 3} .7399774
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .3611385{col 29}{space 2} .7913555{col 40}{space 1}    0.46{col 49}{space 3}0.648{col 57}{space 4} -1.18989{col 70}{space 3} 1.912167
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.218535{col 29}{space 2} .4697502{col 57}{space 4}-2.139228{col 70}{space 3}-.2978414
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} -.143509{col 29}{space 2} .4630904{col 57}{space 4}-1.051149{col 70}{space 3} .7641315
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.700529{col 29}{space 2} .4728813{col 57}{space 4} .7736985{col 70}{space 3} 2.627359
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.901728{col 29}{space 2} .4998148{col 57}{space 4} 1.922109{col 70}{space 3} 3.881347
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'1
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if hegemony_concern == 2

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-323.01525}  
Iteration 1:{space 2}Log likelihood = {res:-306.21792}  
Iteration 2:{space 2}Log likelihood = {res:-305.88073}  
Iteration 3:{space 2}Log likelihood = {res:-305.87975}  
Iteration 4:{space 2}Log likelihood = {res:-305.87975}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:233}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:34.27}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0031}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-305.87975}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0530}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .8890313{col 29}{space 2} .3860319{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .1324228{col 70}{space 3}  1.64564
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.0183551{col 29}{space 2} .3546803{col 40}{space 1}   -0.05{col 49}{space 3}0.959{col 57}{space 4}-.7135156{col 70}{space 3} .6768055
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .0533534{col 29}{space 2} .3460836{col 40}{space 1}    0.15{col 49}{space 3}0.877{col 57}{space 4}-.6249579{col 70}{space 3} .7316647
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .1402622{col 29}{space 2} .2604363{col 40}{space 1}    0.54{col 49}{space 3}0.590{col 57}{space 4}-.3701837{col 70}{space 3}  .650708
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0110516{col 29}{space 2} .0083628{col 40}{space 1}   -1.32{col 49}{space 3}0.186{col 57}{space 4}-.0274424{col 70}{space 3} .0053392
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0390343{col 29}{space 2} .2796731{col 40}{space 1}   -0.14{col 49}{space 3}0.889{col 57}{space 4}-.5871835{col 70}{space 3} .5091149
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0230502{col 29}{space 2} .2666179{col 40}{space 1}    0.09{col 49}{space 3}0.931{col 57}{space 4}-.4995113{col 70}{space 3} .5456117
{txt}{space 8}college {c |}{col 17}{res}{space 2}-1.009815{col 29}{space 2} .2854273{col 40}{space 1}   -3.54{col 49}{space 3}0.000{col 57}{space 4}-1.569242{col 70}{space 3}-.4503877
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .4441446{col 29}{space 2} .3591362{col 40}{space 1}    1.24{col 49}{space 3}0.216{col 57}{space 4}-.2597494{col 70}{space 3} 1.148039
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.3627823{col 29}{space 2} .4695114{col 40}{space 1}   -0.77{col 49}{space 3}0.440{col 57}{space 4}-1.283008{col 70}{space 3} .5574431
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.4332892{col 29}{space 2} .3749051{col 40}{space 1}   -1.16{col 49}{space 3}0.248{col 57}{space 4} -1.16809{col 70}{space 3} .3015113
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.2070314{col 29}{space 2} .7656268{col 40}{space 1}   -0.27{col 49}{space 3}0.787{col 57}{space 4}-1.707632{col 70}{space 3} 1.293569
{txt}Not very str..  {c |}{col 17}{res}{space 2} .9547914{col 29}{space 2} .5492657{col 40}{space 1}    1.74{col 49}{space 3}0.082{col 57}{space 4}-.1217497{col 70}{space 3} 2.031332
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} 1.517163{col 29}{space 2} .5456309{col 40}{space 1}    2.78{col 49}{space 3}0.005{col 57}{space 4} .4477463{col 70}{space 3}  2.58658
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .7799872{col 29}{space 2} .7710851{col 40}{space 1}    1.01{col 49}{space 3}0.312{col 57}{space 4}-.7313119{col 70}{space 3} 2.291286
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.464105{col 29}{space 2} .6107109{col 57}{space 4}-3.661077{col 70}{space 3}-1.267134
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-1.355364{col 29}{space 2} .5938471{col 57}{space 4}-2.519283{col 70}{space 3}-.1914455
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.049685{col 29}{space 2} .5901408{col 57}{space 4}-.1069696{col 70}{space 3}  2.20634
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.287715{col 29}{space 2} .6174401{col 57}{space 4} 1.077554{col 70}{space 3} 3.497875
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'2
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if hegemony_concern == 3

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-266.85164}  
Iteration 1:{space 2}Log likelihood = {res:-253.58414}  
Iteration 2:{space 2}Log likelihood = {res:  -252.904}  
Iteration 3:{space 2}Log likelihood = {res:-252.79754}  
Iteration 4:{space 2}Log likelihood = {res:-252.79721}  
Iteration 5:{space 2}Log likelihood = {res:-252.79721}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:172}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:28.11}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0209}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-252.79721}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0527}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}  .128876{col 29}{space 2} .3945752{col 40}{space 1}    0.33{col 49}{space 3}0.744{col 57}{space 4}-.6444773{col 70}{space 3} .9022293
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} .0751336{col 29}{space 2}  .409478{col 40}{space 1}    0.18{col 49}{space 3}0.854{col 57}{space 4}-.7274286{col 70}{space 3} .8776957
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}  .243182{col 29}{space 2} .4139508{col 40}{space 1}    0.59{col 49}{space 3}0.557{col 57}{space 4}-.5681466{col 70}{space 3} 1.054511
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .8502737{col 29}{space 2} .3041435{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} .2541634{col 70}{space 3} 1.446384
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0014091{col 29}{space 2}  .009908{col 40}{space 1}   -0.14{col 49}{space 3}0.887{col 57}{space 4}-.0208284{col 70}{space 3} .0180101
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0414555{col 29}{space 2} .3274783{col 40}{space 1}   -0.13{col 49}{space 3}0.899{col 57}{space 4}-.6833012{col 70}{space 3} .6003902
{txt}{space 9}female {c |}{col 17}{res}{space 2} .3199026{col 29}{space 2} .2946972{col 40}{space 1}    1.09{col 49}{space 3}0.278{col 57}{space 4}-.2576934{col 70}{space 3} .8974986
{txt}{space 8}college {c |}{col 17}{res}{space 2} -.377644{col 29}{space 2} .3032797{col 40}{space 1}   -1.25{col 49}{space 3}0.213{col 57}{space 4}-.9720612{col 70}{space 3} .2167733
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}-.4020996{col 29}{space 2}  .497511{col 40}{space 1}   -0.81{col 49}{space 3}0.419{col 57}{space 4}-1.377203{col 70}{space 3} .5730041
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.3987709{col 29}{space 2}  .384449{col 40}{space 1}   -1.04{col 49}{space 3}0.300{col 57}{space 4}-1.152277{col 70}{space 3} .3547354
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2} -.420913{col 29}{space 2} .5504836{col 40}{space 1}   -0.76{col 49}{space 3}0.444{col 57}{space 4}-1.499841{col 70}{space 3} .6580151
{txt}Lean Republi..  {c |}{col 17}{res}{space 2} .3899762{col 29}{space 2} 1.272102{col 40}{space 1}    0.31{col 49}{space 3}0.759{col 57}{space 4}-2.103299{col 70}{space 3} 2.883251
{txt}Not very str..  {c |}{col 17}{res}{space 2} 1.948612{col 29}{space 2} 1.412485{col 40}{space 1}    1.38{col 49}{space 3}0.168{col 57}{space 4}-.8198089{col 70}{space 3} 4.717032
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} 3.354457{col 29}{space 2} .9514566{col 40}{space 1}    3.53{col 49}{space 3}0.000{col 57}{space 4} 1.489637{col 70}{space 3} 5.219278
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .2798134{col 29}{space 2} .9660831{col 40}{space 1}    0.29{col 49}{space 3}0.772{col 57}{space 4}-1.613675{col 70}{space 3} 2.173302
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.199609{col 29}{space 2} .7445182{col 57}{space 4}-2.658838{col 70}{space 3} .2596197
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} .0673747{col 29}{space 2} .7363302{col 57}{space 4}-1.375806{col 70}{space 3} 1.510555
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.513406{col 29}{space 2}  .745718{col 57}{space 4} .0518254{col 70}{space 3} 2.974986
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2}   2.7298{col 29}{space 2} .7740083{col 57}{space 4} 1.212772{col 70}{space 3} 4.246829
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'3
{txt}
{com}. local   N3 = e(N)
{txt}
{com}. 
. 
. coefplot        (subset_olog_`addon'1, label(Weaker (`N1')))            ///
>                         (subset_olog_`addon'2, label(Same (`N2')))      ///
>                         (subset_olog_`addon'3, label(Stronger (`N3')))  ///
>                         , title("{c -(}it: US Position in World{c )-}")                                                           ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(8) rows(3) size(vsmall))                                                     ///
>                         name(g_`addon', replace)  xline(0)                                                                      
{res}{txt}
{com}. 
. * Gender
. 
. local addon female
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white college i.pid7 if female == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-570.89453}  
Iteration 1:{space 2}Log likelihood = {res:-552.83217}  
Iteration 2:{space 2}Log likelihood = {res:-552.72598}  
Iteration 3:{space 2}Log likelihood = {res:-552.72592}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:368}
{txt}{col 57}{lalign 13:LR chi2({res:14})}{col 70} = {res}{ralign 6:36.34}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0009}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-552.72592}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0318}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}-.1597802{col 29}{space 2} .2776208{col 40}{space 1}   -0.58{col 49}{space 3}0.565{col 57}{space 4}-.7039069{col 70}{space 3} .3843465
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.2822931{col 29}{space 2} .2790958{col 40}{space 1}   -1.01{col 49}{space 3}0.312{col 57}{space 4}-.8293109{col 70}{space 3} .2647247
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.3640927{col 29}{space 2} .2609911{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4}-.8756258{col 70}{space 3} .1474405
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .5119146{col 29}{space 2}  .191618{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .1363503{col 70}{space 3}  .887479
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0004661{col 29}{space 2} .0060508{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}-.0123254{col 70}{space 3} .0113933
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.2217925{col 29}{space 2} .2314756{col 40}{space 1}   -0.96{col 49}{space 3}0.338{col 57}{space 4}-.6754764{col 70}{space 3} .2318914
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.4497679{col 29}{space 2}  .199506{col 40}{space 1}   -2.25{col 49}{space 3}0.024{col 57}{space 4}-.8407924{col 70}{space 3}-.0587433
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .2155795{col 29}{space 2} .4124901{col 40}{space 1}    0.52{col 49}{space 3}0.601{col 57}{space 4}-.5928862{col 70}{space 3} 1.024045
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.1003708{col 29}{space 2} .3829457{col 40}{space 1}   -0.26{col 49}{space 3}0.793{col 57}{space 4}-.8509306{col 70}{space 3}  .650189
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.3872478{col 29}{space 2} .3181422{col 40}{space 1}   -1.22{col 49}{space 3}0.224{col 57}{space 4}-1.010795{col 70}{space 3} .2362995
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.4545375{col 29}{space 2}   .33812{col 40}{space 1}   -1.34{col 49}{space 3}0.179{col 57}{space 4} -1.11724{col 70}{space 3} .2081654
{txt}Not very str..  {c |}{col 17}{res}{space 2} .8932911{col 29}{space 2}  .342665{col 40}{space 1}    2.61{col 49}{space 3}0.009{col 57}{space 4}   .22168{col 70}{space 3} 1.564902
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .5830576{col 29}{space 2} .2966509{col 40}{space 1}    1.97{col 49}{space 3}0.049{col 57}{space 4} .0016324{col 70}{space 3} 1.164483
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .1712101{col 29}{space 2} .6937188{col 40}{space 1}    0.25{col 49}{space 3}0.805{col 57}{space 4}-1.188454{col 70}{space 3} 1.530874
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.344717{col 29}{space 2} .4653104{col 57}{space 4}-2.256709{col 70}{space 3}-.4327259
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.3848757{col 29}{space 2}  .459068{col 57}{space 4}-1.284632{col 70}{space 3} .5148809
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .9399068{col 29}{space 2} .4619196{col 57}{space 4} .0345611{col 70}{space 3} 1.845252
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.083268{col 29}{space 2} .4781161{col 57}{space 4} 1.146178{col 70}{space 3} 3.020358
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'0
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if female == 1

{txt}note: {bf:female} omitted because of collinearity.
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-626.02173}  
Iteration 1:{space 2}Log likelihood = {res:-610.29342}  
Iteration 2:{space 2}Log likelihood = {res:-610.15601}  
Iteration 3:{space 2}Log likelihood = {res:-610.15595}  
Iteration 4:{space 2}Log likelihood = {res:-610.15595}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:461}
{txt}{col 57}{lalign 13:LR chi2({res:14})}{col 70} = {res}{ralign 6:31.73}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0044}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-610.15595}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0253}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .5026657{col 29}{space 2} .2552663{col 40}{space 1}    1.97{col 49}{space 3}0.049{col 57}{space 4} .0023528{col 70}{space 3} 1.002979
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} .0357585{col 29}{space 2} .2391525{col 40}{space 1}    0.15{col 49}{space 3}0.881{col 57}{space 4}-.4329718{col 70}{space 3} .5044889
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .1900867{col 29}{space 2} .2520762{col 40}{space 1}    0.75{col 49}{space 3}0.451{col 57}{space 4}-.3039737{col 70}{space 3}  .684147
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .3759572{col 29}{space 2} .1772488{col 40}{space 1}    2.12{col 49}{space 3}0.034{col 57}{space 4} .0285559{col 70}{space 3} .7233585
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0076224{col 29}{space 2} .0055405{col 40}{space 1}   -1.38{col 49}{space 3}0.169{col 57}{space 4}-.0184815{col 70}{space 3} .0032368
{txt}{space 10}white {c |}{col 17}{res}{space 2} .1798925{col 29}{space 2} .2082907{col 40}{space 1}    0.86{col 49}{space 3}0.388{col 57}{space 4}-.2283497{col 70}{space 3} .5881348
{txt}{space 9}female {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 8}college {c |}{col 17}{res}{space 2}-.6596817{col 29}{space 2} .1898412{col 40}{space 1}   -3.47{col 49}{space 3}0.001{col 57}{space 4}-1.031764{col 70}{space 3}-.2875998
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .0914943{col 29}{space 2} .2882154{col 40}{space 1}    0.32{col 49}{space 3}0.751{col 57}{space 4}-.4733974{col 70}{space 3} .6563861
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.6902192{col 29}{space 2} .3182437{col 40}{space 1}   -2.17{col 49}{space 3}0.030{col 57}{space 4}-1.313965{col 70}{space 3}-.0664731
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.5472889{col 29}{space 2} .2911885{col 40}{space 1}   -1.88{col 49}{space 3}0.060{col 57}{space 4}-1.118008{col 70}{space 3}   .02343
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.3462626{col 29}{space 2}  .421556{col 40}{space 1}   -0.82{col 49}{space 3}0.411{col 57}{space 4}-1.172497{col 70}{space 3}  .479972
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.3051511{col 29}{space 2} .3484619{col 40}{space 1}   -0.88{col 49}{space 3}0.381{col 57}{space 4} -.988124{col 70}{space 3} .3778217
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.3461828{col 29}{space 2} .2761827{col 40}{space 1}   -1.25{col 49}{space 3}0.210{col 57}{space 4} -.887491{col 70}{space 3} .1951254
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .4952471{col 29}{space 2} .6398695{col 40}{space 1}    0.77{col 49}{space 3}0.439{col 57}{space 4} -.758874{col 70}{space 3} 1.749368
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.287313{col 29}{space 2} .4094891{col 57}{space 4}-3.089897{col 70}{space 3}-1.484729
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-1.007904{col 29}{space 2}  .395141{col 57}{space 4}-1.782366{col 70}{space 3}-.2334415
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.328111{col 29}{space 2} .3985688{col 57}{space 4} .5469302{col 70}{space 3} 2.109291
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.588284{col 29}{space 2} .4302717{col 57}{space 4} 1.744967{col 70}{space 3} 3.431601
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'1
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. coefplot        (subset_olog_`addon'0, label(Male (`N1')))              ///
>                         (subset_olog_`addon'1, label(Female (`N2')))    ///
>                         , title("{c -(}it: Gender{c )-}")                                                                                         ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(1) rows(2) size(vsmall))                                                     ///
>                         name(g_gender,replace)  xline(0)                                                                        
{res}{txt}
{com}. 
. * Education
. 
. 
. local addon college
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female  i.pid7 if college == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-712.98065}  
Iteration 1:{space 2}Log likelihood = {res:-698.94756}  
Iteration 2:{space 2}Log likelihood = {res:-698.85775}  
Iteration 3:{space 2}Log likelihood = {res:-698.85773}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:503}
{txt}{col 57}{lalign 13:LR chi2({res:14})}{col 70} = {res}{ralign 6:28.25}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0132}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-698.85773}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0198}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .3402735{col 29}{space 2} .2426395{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4}-.1352912{col 70}{space 3} .8158383
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.1067124{col 29}{space 2} .2310875{col 40}{space 1}   -0.46{col 49}{space 3}0.644{col 57}{space 4}-.5596356{col 70}{space 3} .3462107
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .0962061{col 29}{space 2} .2304587{col 40}{space 1}    0.42{col 49}{space 3}0.676{col 57}{space 4}-.3554846{col 70}{space 3} .5478969
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .2891912{col 29}{space 2} .1668147{col 40}{space 1}    1.73{col 49}{space 3}0.083{col 57}{space 4}-.0377597{col 70}{space 3} .6161421
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0114413{col 29}{space 2} .0053128{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4}-.0218541{col 70}{space 3}-.0010285
{txt}{space 10}white {c |}{col 17}{res}{space 2} .0344088{col 29}{space 2} .2049924{col 40}{space 1}    0.17{col 49}{space 3}0.867{col 57}{space 4} -.367369{col 70}{space 3} .4361866
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0551988{col 29}{space 2} .1731941{col 40}{space 1}    0.32{col 49}{space 3}0.750{col 57}{space 4}-.2842554{col 70}{space 3} .3946531
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}-.0090021{col 29}{space 2} .3087301{col 40}{space 1}   -0.03{col 49}{space 3}0.977{col 57}{space 4} -.614102{col 70}{space 3} .5960978
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.5013229{col 29}{space 2} .3618993{col 40}{space 1}   -1.39{col 49}{space 3}0.166{col 57}{space 4}-1.210633{col 70}{space 3} .2079867
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.8020171{col 29}{space 2} .2656206{col 40}{space 1}   -3.02{col 49}{space 3}0.003{col 57}{space 4}-1.322624{col 70}{space 3}-.2814102
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.8410754{col 29}{space 2} .3521341{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4}-1.531245{col 70}{space 3}-.1509053
{txt}Not very str..  {c |}{col 17}{res}{space 2} .1393884{col 29}{space 2} .3177212{col 40}{space 1}    0.44{col 49}{space 3}0.661{col 57}{space 4}-.4833337{col 70}{space 3} .7621105
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.2935573{col 29}{space 2}   .25988{col 40}{space 1}   -1.13{col 49}{space 3}0.259{col 57}{space 4}-.8029126{col 70}{space 3} .2157981
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .0472501{col 29}{space 2} .5242789{col 40}{space 1}    0.09{col 49}{space 3}0.928{col 57}{space 4}-.9803176{col 70}{space 3} 1.074818
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.460008{col 29}{space 2}  .408268{col 57}{space 4}-3.260199{col 70}{space 3}-1.659818
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-1.335756{col 29}{space 2} .3971603{col 57}{space 4}-2.114176{col 70}{space 3}-.5573366
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .7676753{col 29}{space 2} .3944446{col 57}{space 4}-.0054218{col 70}{space 3} 1.540772
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.931478{col 29}{space 2} .4106612{col 57}{space 4} 1.126597{col 70}{space 3} 2.736359
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'0
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female i.pid7 if college == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-491.84794}  
Iteration 1:{space 2}Log likelihood = {res:-478.33612}  
Iteration 2:{space 2}Log likelihood = {res:-478.25852}  
Iteration 3:{space 2}Log likelihood = {res:-478.25849}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:326}
{txt}{col 57}{lalign 13:LR chi2({res:14})}{col 70} = {res}{ralign 6:27.18}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0182}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-478.25849}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0276}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}  .024305{col 29}{space 2} .2977146{col 40}{space 1}    0.08{col 49}{space 3}0.935{col 57}{space 4}-.5592049{col 70}{space 3} .6078149
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} -.100886{col 29}{space 2} .2957222{col 40}{space 1}   -0.34{col 49}{space 3}0.733{col 57}{space 4}-.6804909{col 70}{space 3}  .478719
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.2333349{col 29}{space 2}  .297188{col 40}{space 1}   -0.79{col 49}{space 3}0.432{col 57}{space 4}-.8158127{col 70}{space 3}  .349143
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .7152526{col 29}{space 2} .2067796{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4}  .309972{col 70}{space 3} 1.120533
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0060779{col 29}{space 2} .0065527{col 40}{space 1}    0.93{col 49}{space 3}0.354{col 57}{space 4}-.0067652{col 70}{space 3}  .018921
{txt}{space 10}white {c |}{col 17}{res}{space 2} .0932739{col 29}{space 2} .2392717{col 40}{space 1}    0.39{col 49}{space 3}0.697{col 57}{space 4}  -.37569{col 70}{space 3} .5622378
{txt}{space 9}female {c |}{col 17}{res}{space 2}  .260274{col 29}{space 2} .2115433{col 40}{space 1}    1.23{col 49}{space 3}0.219{col 57}{space 4}-.1543434{col 70}{space 3} .6748913
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .2939367{col 29}{space 2} .3452817{col 40}{space 1}    0.85{col 49}{space 3}0.395{col 57}{space 4} -.382803{col 70}{space 3} .9706764
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.3591569{col 29}{space 2} .3296679{col 40}{space 1}   -1.09{col 49}{space 3}0.276{col 57}{space 4}-1.005294{col 70}{space 3} .2869804
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.1663564{col 29}{space 2} .3823283{col 40}{space 1}   -0.44{col 49}{space 3}0.663{col 57}{space 4} -.915706{col 70}{space 3} .5829932
{txt}Lean Republi..  {c |}{col 17}{res}{space 2} -.226755{col 29}{space 2} .3791575{col 40}{space 1}   -0.60{col 49}{space 3}0.550{col 57}{space 4}-.9698901{col 70}{space 3} .5163801
{txt}Not very str..  {c |}{col 17}{res}{space 2} .5922092{col 29}{space 2} .3913986{col 40}{space 1}    1.51{col 49}{space 3}0.130{col 57}{space 4} -.174918{col 70}{space 3} 1.359336
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .7778665{col 29}{space 2} .3327862{col 40}{space 1}    2.34{col 49}{space 3}0.019{col 57}{space 4} .1256175{col 70}{space 3} 1.430116
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}  .672755{col 29}{space 2} 1.102836{col 40}{space 1}    0.61{col 49}{space 3}0.542{col 57}{space 4}-1.488764{col 70}{space 3} 2.834274
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-.1432365{col 29}{space 2} .5322868{col 57}{space 4}-1.186499{col 70}{space 3} .9000264
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} .9534121{col 29}{space 2} .5341956{col 57}{space 4} -.093592{col 70}{space 3} 2.000416
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.416887{col 29}{space 2} .5483336{col 57}{space 4} 1.342173{col 70}{space 3} 3.491601
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.614208{col 29}{space 2}  .574767{col 57}{space 4} 2.487685{col 70}{space 3}  4.74073
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'1
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. 
. coefplot        (subset_olog_`addon'0, label(No College (`N1')))                                ///
>                         (subset_olog_`addon'1, label(College (`N2')))                                   ///
>                         , title("{c -(}it: College{c )-}")                                                                                        ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(1) rows(2) size(vsmall))                                                     ///
>                         name(g_college,replace)  xline(0)                                                                       
{res}{txt}
{com}. 
. * Party ID
. 
. 
. local addon pid7
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college  if pid7 <= 3 & pid7 != 8

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-570.45427}  
Iteration 1:{space 2}Log likelihood = {res:-552.43278}  
Iteration 2:{space 2}Log likelihood = {res:-552.29527}  
Iteration 3:{space 2}Log likelihood = {res:-552.29518}  
Iteration 4:{space 2}Log likelihood = {res:-552.29518}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:388}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:36.32}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-552.29518}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0318}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}  .389698{col 29}{space 2}  .264072{col 40}{space 1}    1.48{col 49}{space 3}0.140{col 57}{space 4}-.1278736{col 70}{space 3} .9072696
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} .1707708{col 29}{space 2} .2614379{col 40}{space 1}    0.65{col 49}{space 3}0.514{col 57}{space 4} -.341638{col 70}{space 3} .6831795
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .2758425{col 29}{space 2} .2631565{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}-.2399347{col 70}{space 3} .7916197
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .4960102{col 29}{space 2} .1859219{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .1316101{col 70}{space 3} .8604103
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0016937{col 29}{space 2} .0057831{col 40}{space 1}   -0.29{col 49}{space 3}0.770{col 57}{space 4}-.0130283{col 70}{space 3}  .009641
{txt}{space 10}white {c |}{col 17}{res}{space 2}  .066362{col 29}{space 2} .1972418{col 40}{space 1}    0.34{col 49}{space 3}0.737{col 57}{space 4}-.3202248{col 70}{space 3} .4529489
{txt}{space 9}female {c |}{col 17}{res}{space 2} .4035868{col 29}{space 2}  .199685{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} .0122114{col 70}{space 3} .7949623
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.9472306{col 29}{space 2}  .193154{col 40}{space 1}   -4.90{col 49}{space 3}0.000{col 57}{space 4}-1.325805{col 70}{space 3}-.5686557
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.415016{col 29}{space 2} .4326465{col 57}{space 4}-2.262987{col 70}{space 3}-.5670439
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.1351948{col 29}{space 2} .4253738{col 57}{space 4}-.9689122{col 70}{space 3} .6985227
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  1.69052{col 29}{space 2} .4326132{col 57}{space 4} .8426134{col 70}{space 3} 2.538426
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.955124{col 29}{space 2} .4596071{col 57}{space 4} 2.054311{col 70}{space 3} 3.855938
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'Dem
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college   if pid7 == 4 

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-148.56887}  
Iteration 1:{space 2}Log likelihood = {res:-143.65518}  
Iteration 2:{space 2}Log likelihood = {res:-143.60968}  
Iteration 3:{space 2}Log likelihood = {res:-143.60964}  
Iteration 4:{space 2}Log likelihood = {res:-143.60964}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:116}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:9.92}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.2708}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-143.60964}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0334}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .5890554{col 29}{space 2} .5355474{col 40}{space 1}    1.10{col 49}{space 3}0.271{col 57}{space 4}-.4605981{col 70}{space 3} 1.638709
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.0231573{col 29}{space 2} .5390083{col 40}{space 1}   -0.04{col 49}{space 3}0.966{col 57}{space 4}-1.079594{col 70}{space 3}  1.03328
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.4753243{col 29}{space 2} .5083086{col 40}{space 1}   -0.94{col 49}{space 3}0.350{col 57}{space 4}-1.471591{col 70}{space 3} .5209422
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .1440724{col 29}{space 2}  .358845{col 40}{space 1}    0.40{col 49}{space 3}0.688{col 57}{space 4}-.5592508{col 70}{space 3} .8473957
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0134825{col 29}{space 2} .0117889{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4}-.0365883{col 70}{space 3} .0096233
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0843597{col 29}{space 2} .3872943{col 40}{space 1}   -0.22{col 49}{space 3}0.828{col 57}{space 4}-.8434427{col 70}{space 3} .6747232
{txt}{space 9}female {c |}{col 17}{res}{space 2} .5304564{col 29}{space 2} .3841445{col 40}{space 1}    1.38{col 49}{space 3}0.167{col 57}{space 4} -.222453{col 70}{space 3} 1.283366
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.3879648{col 29}{space 2}  .430795{col 40}{space 1}   -0.90{col 49}{space 3}0.368{col 57}{space 4}-1.232307{col 70}{space 3} .4563779
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.610095{col 29}{space 2} .7761098{col 57}{space 4}-3.131243{col 70}{space 3}-.0889483
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.7903008{col 29}{space 2} .7631409{col 57}{space 4} -2.28603{col 70}{space 3} .7054279
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  1.93135{col 29}{space 2} .7848728{col 57}{space 4} .3930278{col 70}{space 3} 3.469672
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.779646{col 29}{space 2} .8522375{col 57}{space 4} 1.109291{col 70}{space 3} 4.450001
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'Ind
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college  if pid7 >= 5 & pid7 != 8

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-468.34001}  
Iteration 1:{space 2}Log likelihood = {res:-464.37332}  
Iteration 2:{space 2}Log likelihood = {res:-464.36628}  
Iteration 3:{space 2}Log likelihood = {res:-464.36628}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:309}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:7.95}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.4386}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-464.36628}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0085}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}-.0658735{col 29}{space 2} .3033433{col 40}{space 1}   -0.22{col 49}{space 3}0.828{col 57}{space 4}-.6604154{col 70}{space 3} .5286685
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} -.262552{col 29}{space 2} .2860044{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4}-.8231104{col 70}{space 3} .2980064
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.0664123{col 29}{space 2} .2875475{col 40}{space 1}   -0.23{col 49}{space 3}0.817{col 57}{space 4} -.629995{col 70}{space 3} .4971703
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .4947908{col 29}{space 2} .2109117{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} .0814114{col 70}{space 3} .9081702
{txt}{space 12}age {c |}{col 17}{res}{space 2} -.000489{col 29}{space 2}  .006497{col 40}{space 1}   -0.08{col 49}{space 3}0.940{col 57}{space 4}-.0132229{col 70}{space 3} .0122448
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0789408{col 29}{space 2} .3416089{col 40}{space 1}   -0.23{col 49}{space 3}0.817{col 57}{space 4}-.7484819{col 70}{space 3} .5906003
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1553766{col 29}{space 2} .2106833{col 40}{space 1}   -0.74{col 49}{space 3}0.461{col 57}{space 4}-.5683083{col 70}{space 3} .2575552
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.1218577{col 29}{space 2}  .223983{col 40}{space 1}   -0.54{col 49}{space 3}0.586{col 57}{space 4}-.5608563{col 70}{space 3} .3171409
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.523487{col 29}{space 2} .5221006{col 57}{space 4}-2.546785{col 70}{space 3}-.5001882
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.5414312{col 29}{space 2} .5155056{col 57}{space 4}-1.551804{col 70}{space 3} .4689412
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.048121{col 29}{space 2} .5202655{col 57}{space 4} .0284194{col 70}{space 3} 2.067823
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.228265{col 29}{space 2} .5394195{col 57}{space 4} 1.171022{col 70}{space 3} 3.285508
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'Gop
{txt}
{com}. local   N3 = e(N)
{txt}
{com}. 
. 
. coefplot        (subset_olog_`addon'Dem, label(Democrats (`N1')))                                       ///
>                         (subset_olog_`addon'Ind, label(Independents (`N2')))                            ///
>                         (subset_olog_`addon'Gop, label(Republicans (`N3')))                             ///
>                         , title("{c -(}it: Party ID{c )-}")                                                                                       ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(7) rows(3) size(vsmall))                                                     ///
>                         name(g_pid,replace)  xline(0)                                                                   
{res}{txt}
{com}. 
. 
. 
. * Ukraine Intervene
. 
. local addon ukraine
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if ukraineintervene2way == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-549.23778}  
Iteration 1:{space 2}Log likelihood = {res:-525.53093}  
Iteration 2:{space 2}Log likelihood = {res: -525.2216}  
Iteration 3:{space 2}Log likelihood = {res:-525.22119}  
Iteration 4:{space 2}Log likelihood = {res:-525.22119}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:396}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:48.03}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-525.22119}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0437}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .9214928{col 29}{space 2} .2824008{col 40}{space 1}    3.26{col 49}{space 3}0.001{col 57}{space 4} .3679974{col 70}{space 3} 1.474988
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} .1309346{col 29}{space 2} .2567743{col 40}{space 1}    0.51{col 49}{space 3}0.610{col 57}{space 4}-.3723339{col 70}{space 3} .6342031
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .3945563{col 29}{space 2} .2739671{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4}-.1424093{col 70}{space 3} .9315218
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .3635591{col 29}{space 2} .1899684{col 40}{space 1}    1.91{col 49}{space 3}0.056{col 57}{space 4}-.0087722{col 70}{space 3} .7358904
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0139457{col 29}{space 2} .0063767{col 40}{space 1}   -2.19{col 49}{space 3}0.029{col 57}{space 4}-.0264439{col 70}{space 3}-.0014476
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0985803{col 29}{space 2} .2217575{col 40}{space 1}   -0.44{col 49}{space 3}0.657{col 57}{space 4} -.533217{col 70}{space 3} .3360563
{txt}{space 9}female {c |}{col 17}{res}{space 2} .1338246{col 29}{space 2} .1999423{col 40}{space 1}    0.67{col 49}{space 3}0.503{col 57}{space 4} -.258055{col 70}{space 3} .5257043
{txt}{space 8}college {c |}{col 17}{res}{space 2} -.824138{col 29}{space 2} .2185915{col 40}{space 1}   -3.77{col 49}{space 3}0.000{col 57}{space 4}-1.252569{col 70}{space 3}-.3957066
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}-.3970139{col 29}{space 2} .3568724{col 40}{space 1}   -1.11{col 49}{space 3}0.266{col 57}{space 4}-1.096471{col 70}{space 3} .3024432
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.9060763{col 29}{space 2} .4676661{col 40}{space 1}   -1.94{col 49}{space 3}0.053{col 57}{space 4}-1.822685{col 70}{space 3} .0105324
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}   -1.069{col 29}{space 2} .3318215{col 40}{space 1}   -3.22{col 49}{space 3}0.001{col 57}{space 4}-1.719358{col 70}{space 3}-.4186416
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.9486766{col 29}{space 2} .3991631{col 40}{space 1}   -2.38{col 49}{space 3}0.017{col 57}{space 4}-1.731022{col 70}{space 3}-.1663314
{txt}Not very str..  {c |}{col 17}{res}{space 2} -.419018{col 29}{space 2}  .392262{col 40}{space 1}   -1.07{col 49}{space 3}0.285{col 57}{space 4}-1.187837{col 70}{space 3} .3498013
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.6528515{col 29}{space 2} .3322101{col 40}{space 1}   -1.97{col 49}{space 3}0.049{col 57}{space 4}-1.303971{col 70}{space 3}-.0017317
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.0592973{col 29}{space 2} .5494715{col 40}{space 1}   -0.11{col 49}{space 3}0.914{col 57}{space 4}-1.136242{col 70}{space 3} 1.017647
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.507933{col 29}{space 2} .4822974{col 57}{space 4}-3.453219{col 70}{space 3}-1.562648
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-1.550274{col 29}{space 2} .4720973{col 57}{space 4}-2.475568{col 70}{space 3}-.6249807
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .7904148{col 29}{space 2} .4676103{col 57}{space 4}-.1260845{col 70}{space 3} 1.706914
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.871935{col 29}{space 2} .4892325{col 57}{space 4} .9130569{col 70}{space 3} 2.830813
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'0
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if ukraineintervene2way == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-659.42105}  
Iteration 1:{space 2}Log likelihood = {res:-638.81509}  
Iteration 2:{space 2}Log likelihood = {res:-638.66095}  
Iteration 3:{space 2}Log likelihood = {res:-638.66086}  
Iteration 4:{space 2}Log likelihood = {res:-638.66086}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:433}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:41.52}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0003}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-638.66086}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0315}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}-.2809747{col 29}{space 2} .2524096{col 40}{space 1}   -1.11{col 49}{space 3}0.266{col 57}{space 4}-.7756884{col 70}{space 3}  .213739
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2} -.229528{col 29}{space 2} .2528983{col 40}{space 1}   -0.91{col 49}{space 3}0.364{col 57}{space 4}-.7251995{col 70}{space 3} .2661435
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.4707811{col 29}{space 2} .2419663{col 40}{space 1}   -1.95{col 49}{space 3}0.052{col 57}{space 4}-.9450264{col 70}{space 3} .0034641
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .6001733{col 29}{space 2} .1785165{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} .2502874{col 70}{space 3} .9500592
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0001027{col 29}{space 2} .0055206{col 40}{space 1}   -0.02{col 49}{space 3}0.985{col 57}{space 4} -.010923{col 70}{space 3} .0107175
{txt}{space 10}white {c |}{col 17}{res}{space 2} .0702898{col 29}{space 2} .2205196{col 40}{space 1}    0.32{col 49}{space 3}0.750{col 57}{space 4}-.3619207{col 70}{space 3} .5025004
{txt}{space 9}female {c |}{col 17}{res}{space 2} .1845562{col 29}{space 2} .1819197{col 40}{space 1}    1.01{col 49}{space 3}0.310{col 57}{space 4}-.1719999{col 70}{space 3} .5411122
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.4489226{col 29}{space 2} .1798023{col 40}{space 1}   -2.50{col 49}{space 3}0.013{col 57}{space 4}-.8013286{col 70}{space 3}-.0965166
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .4679264{col 29}{space 2} .3252279{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4}-.1695086{col 70}{space 3} 1.105361
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.2539412{col 29}{space 2} .2888693{col 40}{space 1}   -0.88{col 49}{space 3}0.379{col 57}{space 4}-.8201146{col 70}{space 3} .3122323
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.2197239{col 29}{space 2} .3200307{col 40}{space 1}   -0.69{col 49}{space 3}0.492{col 57}{space 4}-.8469726{col 70}{space 3} .4075248
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.0139695{col 29}{space 2} .3812038{col 40}{space 1}   -0.04{col 49}{space 3}0.971{col 57}{space 4}-.7611152{col 70}{space 3} .7331762
{txt}Not very str..  {c |}{col 17}{res}{space 2} .9739633{col 29}{space 2} .3254827{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  .336029{col 70}{space 3} 1.611898
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .7782523{col 29}{space 2} .2827659{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} .2240414{col 70}{space 3} 1.332463
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} -.871215{col 29}{space 2} 1.242006{col 40}{space 1}   -0.70{col 49}{space 3}0.483{col 57}{space 4}-3.305503{col 70}{space 3} 1.563073
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.441069{col 29}{space 2} .4438043{col 57}{space 4} -2.31091{col 70}{space 3} -.571229
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.1664292{col 29}{space 2} .4387769{col 57}{space 4}-1.026416{col 70}{space 3} .6935578
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.387523{col 29}{space 2} .4440097{col 57}{space 4} .5172798{col 70}{space 3} 2.257766
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.653974{col 29}{space 2} .4612719{col 57}{space 4} 1.749897{col 70}{space 3}  3.55805
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'1
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. 
. coefplot        (subset_olog_`addon'0, label(No Intervention (`N1')))                                   ///
>                         (subset_olog_`addon'1, label(Intervene (`N2')))                                 ///
>                         , title("{c -(}it: Ukraine{c )-}")                                                                                                ///
>                         keep(*.hegemony*) base                                                                                          ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(8) rows(2) size(vsmall))                                                     ///
>                         name(g_ukraine,replace)  xline(0)               
{res}{txt}
{com}. 
. 
. * Political knowledge
. 
. local addon know
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if politicalknowledge == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-181.98793}  
Iteration 1:{space 2}Log likelihood = {res:-168.03577}  
Iteration 2:{space 2}Log likelihood = {res: -167.2494}  
Iteration 3:{space 2}Log likelihood = {res:-167.24653}  
Iteration 4:{space 2}Log likelihood = {res:-167.24653}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:158}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:29.48}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0139}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-167.24653}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0810}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2}   .44382{col 29}{space 2} .4878667{col 40}{space 1}    0.91{col 49}{space 3}0.363{col 57}{space 4}-.5123811{col 70}{space 3} 1.400021
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.3952498{col 29}{space 2} .4756524{col 40}{space 1}   -0.83{col 49}{space 3}0.406{col 57}{space 4}-1.327511{col 70}{space 3} .5370118
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.5540738{col 29}{space 2} .4715852{col 40}{space 1}   -1.17{col 49}{space 3}0.240{col 57}{space 4}-1.478364{col 70}{space 3} .3702162
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2}-.0974521{col 29}{space 2} .3350535{col 40}{space 1}   -0.29{col 49}{space 3}0.771{col 57}{space 4}-.7541449{col 70}{space 3} .5592407
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0247095{col 29}{space 2} .0120248{col 40}{space 1}   -2.05{col 49}{space 3}0.040{col 57}{space 4}-.0482777{col 70}{space 3}-.0011413
{txt}{space 10}white {c |}{col 17}{res}{space 2} .3605099{col 29}{space 2} .3801297{col 40}{space 1}    0.95{col 49}{space 3}0.343{col 57}{space 4}-.3845305{col 70}{space 3}  1.10555
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.8375416{col 29}{space 2} .4128178{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4} -1.64665{col 70}{space 3}-.0284336
{txt}{space 8}college {c |}{col 17}{res}{space 2} .5158965{col 29}{space 2} .4464827{col 40}{space 1}    1.16{col 49}{space 3}0.248{col 57}{space 4}-.3591934{col 70}{space 3} 1.390986
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .5625074{col 29}{space 2} .5911296{col 40}{space 1}    0.95{col 49}{space 3}0.341{col 57}{space 4}-.5960853{col 70}{space 3}   1.7211
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-1.048009{col 29}{space 2} .6894853{col 40}{space 1}   -1.52{col 49}{space 3}0.129{col 57}{space 4}-2.399375{col 70}{space 3} .3033574
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.1076057{col 29}{space 2} .5364762{col 40}{space 1}   -0.20{col 49}{space 3}0.841{col 57}{space 4} -1.15908{col 70}{space 3} .9438684
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.2940013{col 29}{space 2} 1.044241{col 40}{space 1}   -0.28{col 49}{space 3}0.778{col 57}{space 4}-2.340676{col 70}{space 3} 1.752673
{txt}Not very str..  {c |}{col 17}{res}{space 2}  .562773{col 29}{space 2} .8418042{col 40}{space 1}    0.67{col 49}{space 3}0.504{col 57}{space 4}-1.087133{col 70}{space 3} 2.212679
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}  1.43495{col 29}{space 2} .5801121{col 40}{space 1}    2.47{col 49}{space 3}0.013{col 57}{space 4} .2979514{col 70}{space 3} 2.571949
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .4536873{col 29}{space 2} .7359538{col 40}{space 1}    0.62{col 49}{space 3}0.538{col 57}{space 4}-.9887556{col 70}{space 3}  1.89613
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-4.513164{col 29}{space 2} .9031344{col 57}{space 4}-6.283275{col 70}{space 3}-2.743053
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-3.146416{col 29}{space 2} .8433946{col 57}{space 4}-4.799439{col 70}{space 3}-1.493393
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .3218943{col 29}{space 2} .8032097{col 57}{space 4}-1.252368{col 70}{space 3} 1.896156
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.243376{col 29}{space 2}  .816395{col 57}{space 4}-.3567289{col 70}{space 3} 2.843481
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'0
{txt}
{com}. local   N1 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if politicalknowledge == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-446.16332}  
Iteration 1:{space 2}Log likelihood = {res:-430.24059}  
Iteration 2:{space 2}Log likelihood = {res:-430.11564}  
Iteration 3:{space 2}Log likelihood = {res:-430.11557}  
Iteration 4:{space 2}Log likelihood = {res:-430.11557}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:294}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:32.10}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0062}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-430.11557}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0360}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .0656698{col 29}{space 2} .3094158{col 40}{space 1}    0.21{col 49}{space 3}0.832{col 57}{space 4} -.540774{col 70}{space 3} .6721136
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.1052777{col 29}{space 2} .3064671{col 40}{space 1}   -0.34{col 49}{space 3}0.731{col 57}{space 4}-.7059423{col 70}{space 3} .4953868
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2}-.3175942{col 29}{space 2} .3077049{col 40}{space 1}   -1.03{col 49}{space 3}0.302{col 57}{space 4}-.9206847{col 70}{space 3} .2854963
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2} .5537671{col 29}{space 2} .2178332{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .1268219{col 70}{space 3} .9807123
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0075325{col 29}{space 2} .0066619{col 40}{space 1}   -1.13{col 49}{space 3}0.258{col 57}{space 4}-.0205896{col 70}{space 3} .0055246
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0167393{col 29}{space 2} .2623831{col 40}{space 1}   -0.06{col 49}{space 3}0.949{col 57}{space 4}-.5310007{col 70}{space 3}  .497522
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0995814{col 29}{space 2} .2197593{col 40}{space 1}    0.45{col 49}{space 3}0.650{col 57}{space 4}-.3311389{col 70}{space 3} .5303017
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.5371339{col 29}{space 2} .2196842{col 40}{space 1}   -2.45{col 49}{space 3}0.014{col 57}{space 4}-.9677071{col 70}{space 3}-.1065607
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}-.0222988{col 29}{space 2} .3970989{col 40}{space 1}   -0.06{col 49}{space 3}0.955{col 57}{space 4}-.8005983{col 70}{space 3} .7560007
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.0453979{col 29}{space 2} .3798508{col 40}{space 1}   -0.12{col 49}{space 3}0.905{col 57}{space 4}-.7898919{col 70}{space 3} .6990961
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.8083713{col 29}{space 2} .3766432{col 40}{space 1}   -2.15{col 49}{space 3}0.032{col 57}{space 4}-1.546578{col 70}{space 3}-.0701641
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.3164593{col 29}{space 2} .3881716{col 40}{space 1}   -0.82{col 49}{space 3}0.415{col 57}{space 4}-1.077262{col 70}{space 3} .4443432
{txt}Not very str..  {c |}{col 17}{res}{space 2} .8349944{col 29}{space 2} .3622602{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .1249775{col 70}{space 3} 1.545011
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.0868482{col 29}{space 2} .3402092{col 40}{space 1}   -0.26{col 49}{space 3}0.799{col 57}{space 4}-.7536459{col 70}{space 3} .5799496
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.5813212{col 29}{space 2} 1.079216{col 40}{space 1}   -0.54{col 49}{space 3}0.590{col 57}{space 4}-2.696546{col 70}{space 3} 1.533903
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-1.810295{col 29}{space 2} .5648878{col 57}{space 4}-2.917454{col 70}{space 3}-.7031349
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.6876896{col 29}{space 2} .5561432{col 57}{space 4} -1.77771{col 70}{space 3}  .402331
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .8568536{col 29}{space 2} .5569055{col 57}{space 4}-.2346612{col 70}{space 3} 1.948368
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.114051{col 29}{space 2} .5779169{col 57}{space 4} .9813547{col 70}{space 3} 3.246748
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'1
{txt}
{com}. local   N2 = e(N)
{txt}
{com}. 
. ologit  hegemony_DV i.hegemony_region i.hegemony_high_chance                                    ///
>                                         age white female college i.pid7 if politicalknowledge == 2

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-558.38648}  
Iteration 1:{space 2}Log likelihood = {res:-544.11595}  
Iteration 2:{space 2}Log likelihood = {res:-544.03772}  
Iteration 3:{space 2}Log likelihood = {res:-544.03769}  
{res}
{txt}{col 1}Ordered logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:377}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:28.70}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0176}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-544.03769}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0257}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    hegemony_DV{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
hegemony_region {c |}
{space 10}Asia  {c |}{col 17}{res}{space 2} .3079146{col 29}{space 2} .2833001{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4}-.2473435{col 70}{space 3} .8631727
{txt}{space 6}E Europe  {c |}{col 17}{res}{space 2}-.0711203{col 29}{space 2} .2653847{col 40}{space 1}   -0.27{col 49}{space 3}0.789{col 57}{space 4}-.5912648{col 70}{space 3} .4490243
{txt}{space 8}Lat Am  {c |}{col 17}{res}{space 2} .2012262{col 29}{space 2} .2655083{col 40}{space 1}    0.76{col 49}{space 3}0.449{col 57}{space 4}-.3191605{col 70}{space 3} .7216128
{txt}{space 15} {c |}
hegemony_high~e {c |}
{space 3}High Chance  {c |}{col 17}{res}{space 2}  .538179{col 29}{space 2} .1946087{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4}  .156753{col 70}{space 3}  .919605
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0137732{col 29}{space 2} .0063401{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .0013468{col 70}{space 3} .0261995
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.1633352{col 29}{space 2} .2366209{col 40}{space 1}   -0.69{col 49}{space 3}0.490{col 57}{space 4}-.6271036{col 70}{space 3} .3004332
{txt}{space 9}female {c |}{col 17}{res}{space 2}  .141417{col 29}{space 2} .1957168{col 40}{space 1}    0.72{col 49}{space 3}0.470{col 57}{space 4}-.2421808{col 70}{space 3} .5250148
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.5743314{col 29}{space 2} .2039914{col 40}{space 1}   -2.82{col 49}{space 3}0.005{col 57}{space 4}-.9741471{col 70}{space 3}-.1745157
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .1743473{col 29}{space 2} .3527622{col 40}{space 1}    0.49{col 49}{space 3}0.621{col 57}{space 4}-.5170539{col 70}{space 3} .8657486
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.5905903{col 29}{space 2} .3778684{col 40}{space 1}   -1.56{col 49}{space 3}0.118{col 57}{space 4}-1.331199{col 70}{space 3} .1500181
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.4203035{col 29}{space 2} .3288462{col 40}{space 1}   -1.28{col 49}{space 3}0.201{col 57}{space 4} -1.06483{col 70}{space 3} .2242232
{txt}Lean Republi..  {c |}{col 17}{res}{space 2} -.601455{col 29}{space 2} .3694629{col 40}{space 1}   -1.63{col 49}{space 3}0.104{col 57}{space 4}-1.325589{col 70}{space 3} .1226789
{txt}Not very str..  {c |}{col 17}{res}{space 2} .0380074{col 29}{space 2} .3520198{col 40}{space 1}    0.11{col 49}{space 3}0.914{col 57}{space 4}-.6519387{col 70}{space 3} .7279535
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.1579902{col 29}{space 2} .2856965{col 40}{space 1}   -0.55{col 49}{space 3}0.580{col 57}{space 4} -.717945{col 70}{space 3} .4019647
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .5592629{col 29}{space 2} 1.581113{col 40}{space 1}    0.35{col 49}{space 3}0.724{col 57}{space 4}-2.539662{col 70}{space 3} 3.658187
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-.6774876{col 29}{space 2} .4632626{col 57}{space 4}-1.585466{col 70}{space 3} .2304904
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} .4597546{col 29}{space 2} .4626944{col 57}{space 4}-.4471098{col 70}{space 3} 1.366619
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  2.15997{col 29}{space 2}  .476175{col 57}{space 4} 1.226684{col 70}{space 3} 3.093255
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.462254{col 29}{space 2} .5048916{col 57}{space 4} 2.472684{col 70}{space 3} 4.451823
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subset_olog_`addon'2
{txt}
{com}. local   N3 = e(N)
{txt}
{com}. 
. coefplot        (subset_olog_`addon'0, label(Knowledge = 0 (`N1')))                                     ///
>                         (subset_olog_`addon'1, label(Knowledge = 1 (`N2')))                                     ///
>                         (subset_olog_`addon'1, label(Knowledge = 2 (`N3')))                                     ///
>                         , title("{c -(}it: Knowledge{c )-}")                                                                                              ///
>                         levels(95 83 )  ciopts(lwidth(.75...) lcolor(*.4 *.9))                          ///     
>                         keep(*.hegemony*) base                                                                                          ///
>                         headings(1.hegemony_region = "{c -(}bf:Region{c )-}"                                                      ///
>                                         0.hegemony_high_chance = "{c -(}bf:Ending US Leadership{c )-}"            ///
>                                                 , labsize(vsmall))                                                                              ///
>                         legend(ring(0) pos(11) rows(3) size(vsmall))                                                    ///
>                         name(g_know,replace)  xline(0)          
{res}{txt}
{com}. 
. ********************
. * Appendix Figure A6
.                                         
. gr combine g_gender g_pid g_newsint g_hegemony g_ukraine g_know                         ///
>                         , rows(3) xcommon 
{res}{txt}
{com}. 
. graph display, ysize(7) xsize(10)
{res}{txt}
{com}. 
. gr export "${c -(}MyProject{c )-}01 Figure A6.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/01 Figure A6.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. 
. 
. 
. ********************************************************************************
. * Strategy Analysis (Second DV, Appendix Only)
. ********************************************************************************
. 
. local strategies contribute promise fabricate assist 
{txt}
{com}. 
. foreach var of local strategies {c -(}
{txt}  2{com}.         local title = proper("`var'")
{txt}  3{com}. 
.         local modelname olog
{txt}  4{com}.         quietly ologit hegemony_`var' i.hegemony_region i.hegemony_high_chance
{txt}  5{com}.         local `var'_n1 = e(N)
{txt}  6{com}.         local n1 = e(N)
{txt}  7{com}.         eststo strat_`var'_base
{txt}  8{com}.         
.         quietly ologit hegemony_`var' i.hegemony_region i.hegemony_high_chance          ///
>                 age white female college i.pid7
{txt}  9{com}.         local `var'_n2 = e(N)
{txt} 10{com}.         local n2 = e(N)
{txt} 11{com}.         eststo strat_`var'_cov
{txt} 12{com}.         
.         {c )-}
{txt}
{com}. 
. ********************
. * Appendix Table A9
. 
. esttab strat_contribute_base strat_promise_base strat_fabricate_base strat_assist_base  ///
>                 strat_contribute_cov strat_promise_cov strat_fabricate_cov strat_assist_cov             ///
>                 using "${c -(}MyProject{c )-}AppendixTableA9.tex"                         ///
>                 , replace nobase label  longtable eqlabels(none) drop(cut*)                             ///
>                 mtitles("Contribute" "Promise" "Fabricate" "Assist"                                     ///
>                         "Contribute" "Promise" "Fabricate" "Assist")                                            ///
>                 title("Hegemony Experiment Results, By Strategy" "\label{c -(}tab:hegemonystratresults{c )-}")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA9.tex{rm}
not found)
{p_end}
(output written to {browse  `"~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA9.tex"'})

{com}.                 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload//Experiment2Log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}12 Jan 2025, 09:32:26
{txt}{.-}
{smcl}
{txt}{sf}{ul off}